conftrace_

hallucination detection

530 papers

Explore in graph

Co-occurring keywords

large language model (13587) retrieval-augmented generation (1592) text generation (2913) text classification (6793) uncertainty quantification (1393) natural language inference (1287) language model (4599) question answering (2963) benchmark evaluation (1556) fact verification (257)

Papers

Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion EMNLP 2024
OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs EMNLP 2024
Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output EMNLP 2024
RAG-HAT: A Hallucination-Aware Tuning Pipeline for LLM in Retrieval-Augmented Generation EMNLP 2024
Reconfidencing LLMs from the Grouping Loss Perspective EMNLP 2024
SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully EMNLP 2024
Reference-free Hallucination Detection for Large Vision-Language Models EMNLP 2024
Multilingual Fine-Grained News Headline Hallucination Detection EMNLP 2024
AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models EMNLP 2024
DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models EMNLP 2024
Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models EMNLP 2024
Pre-trained Language Models Return Distinguishable Probability Distributions to Unfaithfully Hallucinated Texts EMNLP 2024
InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States EMNLP 2024
Unveiling Narrative Reasoning Limits of Large Language Models with Trope in Movie Synopses EMNLP 2024
CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text EMNLP 2024
THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models CVPR 2024
HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data CVPR 2024
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities NIPS 2024
Graph-based Uncertainty Metrics for Long-form Language Model Generations NIPS 2024
OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning AAAI 2024
TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models ACL 2024
Enhancing Hallucination Detection through Perturbation-Based Synthetic Data Generation in System Responses ACL 2024
Do Androids Know They’re Only Dreaming of Electric Sheep? ACL 2024
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution ACL 2024
CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems ACL 2024